Triple

T11317071
Position Surface form Disambiguated ID Type / Status
Subject GoldenEye E267993 entity
Predicate character P662 FINISHED
Object Natalya Simonova E499521 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Natalya Simonova | Statement: [GoldenEye, character, Natalya Simonova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natalya Simonova
Context triple: [GoldenEye, character, Natalya Simonova]
  • A. Natalya Simonova chosen
    Natalya Simonova is a Russian computer programmer and Bond girl who serves as the primary female lead and ally to James Bond in the 1995 film "GoldenEye."
  • B. Natalya Abramova
    Natalya Abramova was a Soviet actress best known for her role in Andrei Tarkovsky’s acclaimed 1979 science fiction film "Stalker."
  • C. Irina Smirnova
    Irina Smirnova is best known as the wife of legendary Soviet ice hockey player Valeri Kharlamov.
  • D. Natalya Boranova
    Natalya Boranova is a brilliant Soviet scientist and key protagonist in Isaac Asimov’s science fiction novel "Fantastic Voyage II: Destination Brain," where she leads a miniaturized mission inside a human body.
  • E. Tatiana Nikolayeva
    Tatiana Nikolayeva was a renowned Soviet-Russian pianist and composer, celebrated especially for her interpretations of J.S. Bach’s keyboard works.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c3cf748190987838029d9f7fff completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f08f0d9d0c8190a7b84e647c7491e9 completed April 28, 2026, 10:42 a.m.
Created at: April 8, 2026, 9:32 p.m.